Stefan Larson

31 papers A* 2A 2B 5Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 B conf
Document Classification using File Names.
DocEng
Zhijian Li, Stefan Larson, Kevin Leach
2025 — conf
Robust Testing for Deep Learning using Human Label Noise.
DeepTest
Gordon Lim, Stefan Larson, Kevin Leach
2025 B conf
Spurious Cues in RVL-CDIP and Tobacco3482 Document Classification: The Case of ID Codes.
DocEng
Stefan Larson, Sharad Duwal, Brian Vilnrotter, Gayatri Chakkithara, Vedant Padwal, Kevin Leach
2024 A* conf
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP.
EMNLP
Stefan Larson, Nicole Lima, Santiago Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Suleiman, Yash Mathur, Kaushal Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach
2024 J jnl
Document Type Classification using File Names.
CoRR
Zhijian Li, Stefan Larson, Kevin Leach
2024 — conf
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification.
LREC/COLING
Zhijian Li, Stefan Larson, Kevin Leach
2024 J jnl
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification.
CoRR
Zhijian Li, Stefan Larson, Kevin Leach
2024 J jnl
Label Errors in the Tobacco3482 Dataset.
CoRR
Gordon Lim, Stefan Larson, Kevin Leach
2024 J jnl
Robust Testing for Deep Learning using Human Label Noise.
CoRR
Gordon Lim, Stefan Larson, Kevin Leach
2024 J jnl
Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification.
CoRR
Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach
2023 — conf
Augraphy: A Data Augmentation Library for Document Images.
ICDAR (3)
Alexander Groleau, Kok Wei Chee, Stefan Larson, Samay Maini, Jonathan Boarman
2023 J jnl
On Evaluation of Document Classification using RVL-CDIP.
CoRR
Stefan Larson, Gordon Lim, Kevin Leach
2023 A conf
On Evaluation of Document Classifiers using RVL-CDIP.
EACL
Stefan Larson, Gordon Lim, Kevin Leach
2023 J jnl
ShabbyPages: A Reproducible Document Denoising and Binarization Dataset.
CoRR
Alexander Groleau, Kok Wei Chee, Stefan Larson, Samay Maini, Jonathan Boarman
2022 J jnl
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog.
CoRR
Stefan Larson, Kevin Leach
2022 J jnl
Augraphy: A Data Augmentation Library for Document Images.
CoRR
Samay Maini, Alexander Groleau, Kok Wei Chee, Stefan Larson, Jonathan Boarman
2022 A* conf
Evaluating Out-of-Distribution Performance on Document Image Classifiers.
NeurIPS
Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
2022 J jnl
Evaluating Out-of-Distribution Performance on Document Image Classifiers.
CoRR
Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
2022 B conf
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset.
SIGDIAL
Stefan Larson, Kevin Leach
2022 J jnl
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset.
CoRR
Stefan Larson, Kevin Leach
2021 — conf
Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP.
ICDAR Workshops (2)
Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy
2021 J jnl
Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP.
CoRR
Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy
2021 A conf
LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction.
EACL
Jacob Solawetz, Stefan Larson
2021 J jnl
LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction.
CoRR
Jacob Solawetz, Stefan Larson
2020 B conf
Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data.
LREC
Stefan Larson, Eric Guldan, Kevin Leach
2020 B conf
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods.
COLING
Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld
2020 — conf
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness.
EMNLP (1)
Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld
2019 — conf
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
EMNLP/IJCNLP (1)
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2019 J jnl
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
CoRR
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2019 — conf
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
NAACL-HLT (1)
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
2019 J jnl
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
CoRR
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars